The Role
The role involves building data infrastructure, developing data pipelines, and collaborating with teams to ensure data quality and performance.
Summary Generated by Built In
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Please find the job description below:
Data Engineer – Intuit
Location – Mountain View.
Duration – 6 Months + Possible extension
About the Role
We are seeking Senior Data Engineers to join an experienced team building robust data infrastructure to support high-impact analytics and business needs. This role leans heavily into core data engineering — from pipeline development to data modeling — and requires hands-on expertise with modern data stack tools and strong collaboration across teams.
This is a fast-paced, execution-focused environment with immediate interviewing and onboarding.
Key Responsibilities
Design and implement scalable data models and schemas
Develop and maintain reliable, production-grade data pipelines
Work closely with product and analytics teams to support data-driven features
Ensure performance, data quality, and operational reliability across the stack
Build and support ETL workflows using modern tools and frameworks
Required Qualifications
5+ years of experience in Data Engineering
Advanced SQL skills with experience in data modeling and schema design
Strong coding ability with Python for scripting and transformations
Experience with ETL tools or frameworks (e.g., SnapLogic, Airflow, DBT, etc.)
Excellent problem-solving skills and the ability to work independently
Comfortable working in fast-moving, collaborative environments
Strong communication and documentation skills
Nice to Have
Experience with Snowflake is a strong plus
Experience with SnapLogic or similar modern ETL platforms
Familiarity with CI/CD and data ops practices
Please find the job description below:
Data Engineer – Intuit
Location – Mountain View.
Duration – 6 Months + Possible extension
About the Role
We are seeking Senior Data Engineers to join an experienced team building robust data infrastructure to support high-impact analytics and business needs. This role leans heavily into core data engineering — from pipeline development to data modeling — and requires hands-on expertise with modern data stack tools and strong collaboration across teams.
This is a fast-paced, execution-focused environment with immediate interviewing and onboarding.
Key Responsibilities
Design and implement scalable data models and schemas
Develop and maintain reliable, production-grade data pipelines
Work closely with product and analytics teams to support data-driven features
Ensure performance, data quality, and operational reliability across the stack
Build and support ETL workflows using modern tools and frameworks
Required Qualifications
5+ years of experience in Data Engineering
Advanced SQL skills with experience in data modeling and schema design
Strong coding ability with Python for scripting and transformations
Experience with ETL tools or frameworks (e.g., SnapLogic, Airflow, DBT, etc.)
Excellent problem-solving skills and the ability to work independently
Comfortable working in fast-moving, collaborative environments
Strong communication and documentation skills
Nice to Have
Experience with Snowflake is a strong plus
Experience with SnapLogic or similar modern ETL platforms
Familiarity with CI/CD and data ops practices
Top Skills
Airflow
Dbt
Python
Snaplogic
Snowflake
SQL
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The Company
What We Do
SMSS Inc. is the best solution company specialized in providing Information Technology and Management Consulting. We provide value for money to our clients by delivering the best quality technical services and solutions at reasonable rates. We also provide the best working environment for our staff and consultants. It is a growing IT services provider having wide array of solutions from Business Strategy Analysis to implementation and execution of Information Technology as well as management aspects of a business entity.
